30:57 so your nullhypothesis - which you tried to reject - was, that the bubble modell will produce more dcs? So actually you never rejected any nullhyp. which means this study needs to be redone with the opposite nullhyp. based on these results...
from what i can understand, it seems that they were expecting some differences between the groups (hypotesis), so would't the null hypothesis be "there are no significant differences between the two groups"? if this is the case the null hypothesis is rejected (assuming a low p-value)
30:57 so your nullhypothesis - which you tried to reject - was, that the bubble modell will produce more dcs? So actually you never rejected any nullhyp. which means this study needs to be redone with the opposite nullhyp. based on these results...
from what i can understand, it seems that they were expecting some differences between the groups (hypotesis), so would't the null hypothesis be "there are no significant differences between the two groups"? if this is the case the null hypothesis is rejected (assuming a low p-value)
Excellent presentation. Keep up the great work!
TL;DR: Deep stops are overrated.
First 20 minutes recaps compression theory, then it starts presenting differences and findings.